Companion site for the textbook Quantum Computing: An Applied Approach
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Updated
Dec 3, 2023 - Jupyter Notebook
Companion site for the textbook Quantum Computing: An Applied Approach
Research using Cirq!
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.
QuAIRKit is a Python research framework for quantum computing, quantum information, and quantum machine learning algorithm development. It focuses on flexible design, real-time simulation and rapid verification of quantum and classical algorithms.
A Jupyter notebook that demonstrates the use of Qiskit and the IBM Q Experience using the BBPSSW protocol for entanglement purification as an example.
⚛️ ⚗️ 👨🏫 A project based in Quantum Physics/Mechanics, Quantum Information Science, Quantum Theory, Quantum Chemistry and Quantum Computing. This project was developed as part of the Summer School on Quantum Computing: Software for Near Term Quantum Devices 2020, realized by UIMP (Universidad Internacional Menéndez Pelayo), with the support of …
Modeling nitrogen-vacancy centers in diamond
Implementation of the paper Quantum Error Mitigation by Pauli Check Sandwiching. The scheme was first explored by the paper Extended flag gadgets for low-overhead circuit verification. Adds Pauli parity checks to the input quantum circuit.
Example of quantum communication using polarization-coded photons
Data Acquisition for Confocal Microscope and Spin Control Experiments
Materials for QIC class for which I was a TA.
⚛️ 👨💻 💥 A project based in Quantum Computing and Quantum Information Science. This project was built using Java and JUnit. The QuISL (Quantum Information Science Library) is a Java Library (or Toolbox/Framework), which will act as Simulator of this new technology, as also, will allow to build and study Quantum Circuits, Quantum Algorithms, amon…
Compression of Quantum Information with examples
The codebase for the Superconducting Quantum Information Laboratory in EPFL
Data-centric machine learning in QIS
Resources on Quantum Computing
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